Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Upsampling01:22

Upsampling

372
Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
372
Downsampling01:20

Downsampling

335
When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
335
Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

11.2K
Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
11.2K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Cross-Level Topological Framework: Learning Explainable Region-Channel Representations from EEG Signals for Emotional Decoding.

IEEE journal of biomedical and health informatics·2026
Same author

Efficient, Robust, and Anti-Collusion Fingerprinting of Image Diffusion Models.

IEEE transactions on pattern analysis and machine intelligence·2026
Same author

Single-Image Reflection Removal via Iterative Prompt Learning of Reflection Level.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

High-fat diet-induced obesity impairs endothelium-dependent relaxation in rabbits: association with MLCK upregulation and partial <i>ex vivo</i> improvement by ML-7.

Frontiers in cardiovascular medicine·2026
Same author

The Causal Relationship between Blood Cell Traits and Valvular Heart Disease: A Two-Sample Mendelian Randomization Study.

Arquivos brasileiros de cardiologia·2026
Same author

Predicting biomolecular interactions via a dual-stream graph neural network with motif constraint and diffusion-based regularization.

Computational biology and chemistry·2026
Same journal

Change-Prior-Guided Unsupervised Change Detection of Heterogeneous Remote Sensing Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

AgonicDreamer: Enhancing Multi-View Consistency in Text-to-3D Generation via Rectified Score Distillation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

BiCM-Prompt: Bidirectional Cross-Modal Prompt Tuning for Class-Incremental Learning on Multisource Remote Sensing Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

GoP-based Quality Enhancement on Video Compression.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Align then Tensorize: Multi-Level Consistent Anchor Graph Learning for Scalable Multi-View Clustering.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Beyond Fidelity: Diverse Image Synthesis via Retrieval-Augmented Diffusion.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
See all related articles

Related Experiment Video

Updated: Oct 29, 2025

A Multimodal Imaging Framework to Advance Phenotyping of Living Label-free Breast Cancer Cells
10:37

A Multimodal Imaging Framework to Advance Phenotyping of Living Label-free Breast Cancer Cells

Published on: August 22, 2025

657

Optimal Pre-Filtering for Improving Facebook Shared Images.

Weiwei Sun, Jiantao Zhou, Li Dong

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |July 7, 2021
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a pre-filtering method to enhance image quality on online social networks (OSNs) like Facebook. By optimizing image processing before upload, users can improve shared photo quality without platform cooperation.

    More Related Videos

    Microfluidic Co-Culture Models for Dissecting the Immune Response in in vitro Tumor Microenvironments
    07:46

    Microfluidic Co-Culture Models for Dissecting the Immune Response in in vitro Tumor Microenvironments

    Published on: April 30, 2021

    5.0K
    Quantifying Microglia Morphology from Photomicrographs of Immunohistochemistry Prepared Tissue Using ImageJ
    08:44

    Quantifying Microglia Morphology from Photomicrographs of Immunohistochemistry Prepared Tissue Using ImageJ

    Published on: June 5, 2018

    70.4K

    Related Experiment Videos

    Last Updated: Oct 29, 2025

    A Multimodal Imaging Framework to Advance Phenotyping of Living Label-free Breast Cancer Cells
    10:37

    A Multimodal Imaging Framework to Advance Phenotyping of Living Label-free Breast Cancer Cells

    Published on: August 22, 2025

    657
    Microfluidic Co-Culture Models for Dissecting the Immune Response in in vitro Tumor Microenvironments
    07:46

    Microfluidic Co-Culture Models for Dissecting the Immune Response in in vitro Tumor Microenvironments

    Published on: April 30, 2021

    5.0K
    Quantifying Microglia Morphology from Photomicrographs of Immunohistochemistry Prepared Tissue Using ImageJ
    08:44

    Quantifying Microglia Morphology from Photomicrographs of Immunohistochemistry Prepared Tissue Using ImageJ

    Published on: June 5, 2018

    70.4K

    Area of Science:

    • Computer Vision
    • Image Processing
    • Social Media Analysis

    Background:

    • Online Social Networks (OSNs) host vast amounts of user-uploaded images.
    • Lossy compression by OSNs degrades image quality, impacting user experience.
    • Improving shared image fidelity is crucial for user satisfaction.

    Purpose of the Study:

    • To develop an optimal pre-filtering strategy for enhancing images shared on OSNs.
    • To improve the quality of images uploaded to platforms like Facebook without their direct involvement.
    • To minimize end-to-end distortion between original and shared images.

    Main Methods:

    • Treating Facebook's image processing as a black box to reverse-engineer its pipeline.
    • Designing a pre-filter using an optimization framework to minimize image distortion.
    • Implementing and evaluating the pre-filtering strategy before image upload.

    Main Results:

    • The proposed pre-filtering strategy significantly improves the quality of OSN-shared images.
    • Both quantitative metrics and qualitative assessments demonstrate superior performance compared to direct sharing.
    • Experimental results validate the effectiveness of the pre-filtering approach.

    Conclusions:

    • An effective pre-filtering method can enhance image quality on OSNs independently of platform-side processing.
    • The developed strategy offers a viable solution for users seeking better image fidelity on social media.
    • The technique shows potential for adaptation to other OSN platforms.